Autonomous vehicles have logged millions of miles, but the industry still can't point to a single standardized test that proves a self-driving system is safe enough for public roads. Humans need a driver's license. AVs need... a patchwork of state rules and company self-certification. That gap is now getting federal attention, and it's arriving just as a robotaxi company prepares to test public markets.
NHTSA's ASCEND: A Standard Without a Timeline
The National Highway Traffic Safety Administration says it's working on a federal automated vehicle framework that puts safety at the foundation without stifling innovation. Administrator Jonathan Morrison described the goal as avoiding a game of 'whack-a-mole' with policy decisions or trying to predict how the technology will evolve. The agency's notable step: an agreement with SAE to launch ASCEND, a government-industry initiative aimed at speeding up data-driven AV performance standards. Morrison said the consortium's top priority is ADS competency, which will inform and accelerate a corresponding federal motor vehicle safety standard. But there's no timeline yet for when those standards arrive.
Why Existing Rules Don't Fit
Federal motor vehicle safety standards already govern the vehicles automakers sell today, but those rules weren't designed for vehicles like the Tesla Cybercab and Zoox robotaxi. Those vehicles lack traditional, federally required equipment including pedals, steering wheels, side mirrors, and rearview mirrors. That mismatch is the core regulatory problem: the rulebook assumes a human is in the driver's seat. Morrison framed the federal performance rulemaking as a way to address a patchwork of inconsistent state and local requirements while encouraging American innovation and promoting safe deployment. Whether a single federal standard can actually replace that patchwork remains the open question.
May Mobility's Public-Market Bet on Robotaxis
Wall Street is about to get its first pure-play robotaxi test. May Mobility plans to go public through a merger with special purpose acquisition company ACP Holdings Acquisition Corp., in a deal that could raise more than $300 million at a $1.4 billion valuation. The company operates autonomous Toyota Siennas in three locations and says it will be the first U.S. public company focused entirely on autonomous ride-hailing vehicles. TechCrunch senior reporter Sean O'Kane noted this will also test May Mobility's 'asset-light' and 'partnership-first' approach to autonomy. Existing public AV exposure — Aurora, Kodiak, Rivian, Tesla — is either truck-focused or part of a larger business.
The Rest of the Mobility Week
Elsewhere: Beep merged with Miami-based on-demand public transportation firm Freebee, with Beep co-founder Kevin Reid as chair and CEO. Lucid Motors partnered with European mobility platform Bolt to deploy at least 25,000 fully autonomous vehicles on Lucid's upcoming midsize EV architecture. Joby Aviation's autonomy technology flew an aircraft more than 3,100 miles across the United States without a human pilot taking control. Waymo restarted robotaxi service in San Antonio five months after a flash flood swept away one of its vehicles, launched in Las Vegas, and announced it was headed to Singapore for mapping and eventual testing. Zoox's 100-vehicle cap in Las Vegas expires September 25.
Key Takeaways
- There is no standardized test today for judging how well an automated driving system performs in the real world.
- NHTSA and SAE launched ASCEND, a government-industry initiative to develop data-driven AV performance standards, but no timeline exists yet.
- Existing federal motor vehicle safety standards weren't designed for vehicles without pedals, steering wheels, or mirrors.
- May Mobility plans to go public via a SPAC merger, raising over $300 million at a $1.4 billion valuation, claiming the first pure-play U.S. robotaxi listing.
- Waymo expanded to Las Vegas and Singapore while restarting San Antonio service; Zoox's Las Vegas vehicle cap expires September 25.
Source: TechCrunch • 🇺🇸 San Francisco
Keep Reading
